Desenvolvimento de um banco de itens para avaliar o transtorno depressivo maior

Sales, Hemerson Fillipy Silva; Andrade, Josemberg Moura de; Asfora, Vivianne Freitas Oliveira

doi:10.15689/ap.2018.1704.5.05

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…In addition, the information area of each item, total information charts, and error of each component and analysis of the item characteristics curves (ICCs) were analyzed. The ICCs were interpreted according to three standards as recommended by Sales et al (2018): Standard 1 represents the items where the three intermediate response categories were overlapped by the end categories (values 0 and 3); Standard 2 consists of those ICCs where only one of the categories of response, among the two intermediate categories (1 and 2), was more likely to be endorsed than the others at some point in theta level; and Standard 3 occurs when all categories of response at some point in the theta scale were more likely to endorse than the others. The latter is the most desirable pattern.…”

Section: Discussionmentioning

confidence: 99%

Item Response Theory Applied to the Spiritual Needs Questionnaire (SpNQ) in Portuguese

Silva¹,

Cavalcanti

Lima

et al. 2020

Religions

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The item response theory (IRT), or latent trace theory, is based on a set of mathematical models to complement the qualitative analysis of the items in a given questionnaire. This study analyzes the items of the Spiritual Needs Questionnaire (SpNQ) in the Portuguese version, applied to HIV+ patients, with R Studio 3.4.1, mirt statistical package, to find out if the items of the SpNQ possess appropriate psychometric qualities to discriminate between respondents as to the probability of marking one answer and not another, in the same item, showing whether or not the questionnaire is biased towards a pattern of response desired by the researcher. The parameters of discrimination, difficulty, information, and the characteristic curve of the items are evaluated. The reliable items to measure the constructs of each of the five dimensions of the SpNQ of this HIV+ sample (Religious Needs; Inner Peace and Family Support Needs; Existential Needs; Social Recognition Needs; and Time Domain Needs) are presented, as well as the most likely response categories, depending on the latent trace level of the individuals. The questionnaire items showed satisfactory discrimination and variability of difficulty, confirming the good psychometric quality of SpNQ.Religions 2020, 11, 139 2 of 13 or not there is a specific need within four dimensions (social, emotional, existential, and religious), and how strong it is, using a 4-step scale. It differentiates four main dimensions, i.e., religious needs, existential needs, inner peace needs, and giving/generativity needs (Büssing et al. 2010. The SpNQ was validated into Portuguese (Valente et al. 2018) in a sample of HIV+ patients, presenting internal consistency ranging from 0.51 to 0.83.SpNQ has already been translated and validated in 12 studies. However, the psychometric analyses performed so far were based only on the classical theory of tests (CTT), based on exploratory factor analysis and internal consistency analysis, all conventional quantitative approaches to test the reliability and validity of a scale based on its items (Cappelleri et al. 2014;Sartes and de Souza-Formigoni 2013). Differently, the present study sought to evaluate the SpNQ items from the perspective of IRT, in order to obtain evidence of complementary validity of the characteristics of the items that make up the instrument-in this case, in Portuguese-to answer this main question: Do the items of the SpNQ questionnaire validated in Portuguese possess appropriate psychometric qualities to discriminate between respondents as to the probability of marking one answer and not another, in the same item, showing whether or not the questionnaire is biased towards a pattern of responses desired by the researcher?The SpNQ was validated in different countries and different socio-cultural contexts of its various applications would benefit from the results of this analysis, through the calculation of the guarantee of accuracy and differentiation of the patients' responses.

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Section: Discussionmentioning

confidence: 99%